ACADEMIC ENDEAVORS

Diabetes Analysis Dashboard

Aug 2023

• Analyzed over 10,000 diagnostic lab data points to identify key performance indicators (KPIs) impacting profitability at the store, test, and result levels, resulting in targeted business strategies with a projected revenue increase of 15%.
• Utilized Power BI to synthesize insights and trends from data into 5 strategic initiatives and recommendations, presenting a multi-level analysis to stakeholders and facilitating informed decisions.
• Performed data cleaning, and data visualization to create a clear, concise, and captivating visualization presentation.

• Designed and implemented a Power BI dashboard to assess sales efficiency across 4 geographical regions and multiple product categories, enabling a holistic view of organizational performance, and serving as a pivotal tool for executive decision-making

• Incorporated interactive features such as slicers and advanced tooltips to provide real-time, user-specific insights into sales and profit correlations, product category efficiencies, and forecasting, thereby enhancing usability

• Integrated a scatterplot visual to identify sales-profit correlations for each region, product category, and product sub-category, to drive targeted cost-optimization strategies, and enhance the dashboard's analytical depth in assessing efficiency

Sales Efficiency Dashboard

Aug 2023

Agile Scrum Master Simulation

Arizona State University, Tempe, AZ

Jun 2023

Facilitated Scrum events, from sprint planning to sprint retrospective, guiding the team in self-organization & cross-functionality, delivering a minimum viable product to enhance employee benefits and payroll experience
Achieved all planned 18 minimum viable product stories in 4 sprints, promoting a collaborative and productive environment
Evaluated milestones and deliverable performance for each sprint through burndown charts and velocity trend graphs

Researched food recipe trends for Instacart, narrowing down the focus by identifying user pain points, optimizing application, and increasing KPIs such as customer satisfaction, and profitability
Applied Latent Dirichlet Allocation algorithm (LDA) & Sentiment analysis to a large unstructured dataset collected from Reddit
Performed a full analytical pipeline, leveraging digital social media, and using agile methodology to gain a market understanding

Recipe Trends Using Social Media Analytics

Arizona State University, Tempe, AZ

Apr 2023

Brewery Expansion Visualization

Arizona State University, Tempe, AZ

Mar 2023

Recommended expansion areas considering company strengths, volume of breweries, and offering growth opportunities in 2 states
Explored complex dataset of 1000+ data entries across 5+ sheets in Excel containing a dataset, recognizing data patterns and insights
Narrated a story presenting 6+ visualizations on Power BI and Tableau, keeping in mind pre-attentive attributes and quality of the deliverable while incorporating feedback

Mitigated risks and evaluated tradeoffs by solving 7 key challenges to establish a secure information environment
Gauged practices such as extending deep security to cloud or prioritizing training to make decisions, minimizing risk, and saving the company from crypto-ransomware attack
Collaborated with team in assessing risk management process, and was the go-to person to build a well-defined report using BLUF

Hospital Crisis Management Simulation

Arizona State University, Tempe, AZ

Mar 2023

IT Firm Crisis Management Simulation

Arizona State University, Tempe, AZ

Feb 2023

Analyzed risk-mitigating and various pricing options such as investing in breach detection technology, for company’s app launch
Evaluated options to minimize risk, and support the company by allocating budget wisely
Successfully saved millions by preventing data from getting compromised and keeping firm’s reputation & operations intact

Developed an actionable plan to predict customer default on credit cards, establishing machine learning models - Random Forest & AdaBoost, achieving an accuracy of 86.5%
Applied feature engineering and data analytics targeting important features from a 26,000 dataset to increase profits by 35%
Aligned business goals & priorities, proposing changes with a long-term vision of impacting areas such as direct marketing, manufacturing

Credit Card Default Prediction System

Arizona State University, Tempe, AZ

Feb 2023

Climate Change and Fast Fashion Analysis

Arizona State University, Tempe, AZ

Dec 2022

Implemented compelling data visualizations on Tableau, demonstrating the impact of fast fashion products on climate change and identifying 3+ areas for improvement
Conducted exploratory data analysis to provide strategic and innovative inputs creating an effective storyline to simplify complexity
Brainstormed techniques to reduce cognitive burden, enhancing team effort and performance while maintaining high velocity of work

Developed a machine learning model to predict credit card approval using two-class logistic regression and the two-class boosted decision tree algorithm, achieving an accuracy of 89% and 97% respectively
Deployed tools on Microsoft Azure to train and optimize models
Analyzed and experimented with 12+ parameters to improve model performance

Credit Card Approval Prediction System

Arizona State University, Tempe, AZ

Dec 2022

Traffic Sign Detection and Recognition System

Arizona State University, Tempe, AZ

May 2020

Designed a real-time model using SVM algorithm and image processing techniques including thresholding and histogram equalization, to detect and recognize traffic signs based on shapes, with an 82.5% accuracy
Complied Python scripts on Jupyter Notebook to formulate a learning model, and generated a thorough report showing domain relevance, resources, timelines, and summary
Presented recommendations and scope for implementation for automobile companies

Devised a prediction system using Python to predict house prices for Mumbai city, covering 30+ regions
Conducted research to identify 6+ factors that influence house prices such as the area, number of bedrooms, and additional facilities
Applied the Multivariate linear regression technique and attained an accuracy of 87%

House Price Prediction System

Arizona State University, Tempe, AZ

May 2019